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Using a Climate Index to Measure Crop Yield Response

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Listed:
  • Cai, Ruohong
  • Mullen, Jeffrey D.
  • Bergstrom, John C.
  • Shurley, W. Donald
  • Wetzstein, Michael E.

Abstract

Using principal component analysis, a climate index is developed to estimate the linkage between climate and crop yields. The indices based on three climate projections are then applied to forecast future crop yield responses. We identify spatial heterogeneity of crop yield responses to future climate change across a number of U.S. northern and southern states. The results indicate that future hotter/drier weather conditions will likely have significant negative impacts on southern states, whereas only mild impacts are expected in most northern states.

Suggested Citation

  • Cai, Ruohong & Mullen, Jeffrey D. & Bergstrom, John C. & Shurley, W. Donald & Wetzstein, Michael E., 2013. "Using a Climate Index to Measure Crop Yield Response," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 45(4), pages 1-18, November.
    • Handle: RePEc:ags:joaaec:157314
    DOI: 10.22004/ag.econ.157314
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    References listed on IDEAS

    as
    1. Choi, Jung-Sup & Helmberger, Peter G., 1993. "How Sensitive are Crop Yields to Price Changes and Farm Programs?," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 25(1), pages 237-244, July.
    2. Choi, Jung-Sup & Helmberger, Peter G., 1993. "How Sensitive Are Crop Yields To Price Changes And Farm Programs?," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 25(01), pages 1-8, July.
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    More about this item

    Keywords

    Environmental Economics and Policy;

    JEL classification:

    • Q1 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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